Processing Problems in the IRUS Queries: An Empirical Verification of Problem Coverage in the Natural Language Sourcebook

Abstract

The Natural Language Sourcebook (Read, Dyer, Baker, Mutch, Butler, Quilici, & Reeves, 1990), a database of processing problems an intelligent computer system might have with natural language, was developed as part of the Artificial Intelligence Measurement System (AIMS). One important use of the Sourcebook is as a means for evaluating intelligent computer systems with regard to their ability to handle specific processing problems. This paper provides an empirical verification of the problem coverage in the Natural Language Sourcebook by referencing output from one intelligent computer system, IRUS (bates, Stallard, and Moser, 1985), to the Sourcebook exemplars.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA232780

Entities

People

  • Patricia Mutch

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Cognitive Science
  • Computational Linguistics
  • Computers
  • Databases
  • Diego Garcia
  • Identification
  • Indian Ocean
  • Language
  • Linguistics
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • Plastic Explosives
  • Ships
  • Verification

Fields of Study

  • Computer science

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Database Systems and Applications
  • Military History

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Machine Translation